Software development

Software development

Intelligent issue triage is implemented through Gemini CLI, which automatically analyzes, labels, and prioritizes incoming issues, enhancing the efficiency of issue management.

The release of JobRunr 8.0 introduces Carbon Aware Job Processing, optimizing carbon footprint during job scheduling and utilizing ENTSO-E data for real-time emissions monitoring.

95% of developers now rely on AI‑assisted tooling to accelerate their workflows and catch critical bugs before they ship, indicating a significant shift towards AI solutions in software development.

A technical design document template is a pre-built structure that outlines how a system, feature, or product will function before any code is written.

Version 9.4 of .NET Aspire introduces enhancements focused on developer experience, deployment automation, and deeper cloud integration, marking its most significant update to date.

Off-the-shelf CRMs like HubSpot, Zoho, or even niche solutions often do the job for many businesses, eliminating the need for custom development.

Vibe coding is best for low-stakes experimentation and not critical work, despite the excitement and funding around it.

Coupled code refers to a situation where changes in one module directly affect another, causing unexpected consequences or bugs, making maintenance difficult.

When something breaks, the impact isn't always obvious right away. What starts as a few 500 errors in one service can quickly snowball into failed transactions, frustrated users, and revenue loss.

"High Volume Automated Testing (HiVAT) takes the idea that automation changes the very concept of how tests can be created, run and evaluated, and extends it to its logical conclusion."

In today’s fast-paced digital landscape, it’s essential to be selective with software choices. Cluttered systems can lead to inefficiency, which makes it crucial to identify programs that truly add value.

The PyCharm AI Toolkit integrates AI development directly into PyCharm, bringing experimentation, debugging, evaluation, fine-tuning, and deployment into one familiar environment.

AI models that generate code present significant challenges to issues related to reliability, safety, and security. The output from these models needs nuanced evaluation beyond simple classification tasks.

gRPC's high performance and support for multiple programming languages make it suitable for complex, distributed applications, said Stephanie Walter, analyst at HyperFRAME Research.

84% of developers now use or plan to use AI in their workflow, but only 33% trust the accuracy of AI outputs. This trust gap reflects real-world experience with AI's limitations.

My very first task was switching from LPD (Line Printer Daemon, line printers are kind of high-speed electric typewriters) to #CUPS and so Mandrake was the first distro with CUPS and easy printing.

The shift from deterministic code to probabilistic AI has created a fundamental crisis in Quality Assurance (QA), as traditional testing assumes predictable inputs and outputs.

The default and most commonly used table engine in ClickHouse, MergeTree, is optimized for high-throughput batch inserts. It writes each insert as a separate partition, then runs background merges to keep data manageable. This makes writes very fast, but not when they arrive in lots of tiny batches, which was exactly our case with millions of individual devices uploading one log event every 2 minutes.

Having a well-integrated type system that makes sense and gives you optimization potential for memory layouts is generally a good idea.

Pinterest's Hadoop Control Center (HCC) automates the management of Hadoop clusters, transforming manual workflows into a fully automated system that enhances efficiency and scalability.

Windows 11 Pro builds on Windows 10 with performance improvements and enhanced multitasking features that make a noticeable difference when managing clients and projects.